Mihaela Codruța Ancuti

Data-efficient machine learning for photovoltaic power prediction: Explainability, uncertainty, and learning saturation

Reliable photovoltaic power prediction is increasingly important for integrating variable solar generation into modern electricity systems, yet many operational installations have only limited historical data. This study developed a data-efficient, explainable, and uncertainty-aware machine-learning framework using 412...